首页/数据集/RNA-seq of FR4+Egr2+, FR4+Egr2-, FR4-Egr2-, FR4+Egr2-/-Egr3-/- and FR4-Egr2-/-Egr3-/- CD4 T cells

RNA-seq of FR4+Egr2+, FR4+Egr2-, FR4-Egr2-, FR4+Egr2-/-Egr3-/- and FR4-Egr2-/-Egr3-/- CD4 T cells

ChEBI2025-01-01 更新2026-07-12 收录

T细胞亚群转录组学

免疫细胞分子标记

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-12736 数据链接链接失效反馈

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资源简介：

RNA-seq of FR4+Egr2+, FR4+Egr2-, FR4-Egr2-, FR4+Egr2-/-Egr3-/- and FR4-Egr2-/-Egr3-/- CD4 T cells

应用场景：

创建时间：

2025-01-01

T细胞亚群转录组学

自身免疫炎症迁移表型

Regulatory T cells (Treg) are a cornerstone of immune regulation. Recent evidence indicates that human Treg show plasticity in specific settings. A subpopulation of Treg expressing CD161, a marker ass

NIAID Data Ecosystem130

Transcriptional profiling of human in vitro primed Th1, Th2, Th9 and Treg T cells. Transcriptional profiling of human in vitro primed Th1, Th2, Th9 and Treg T cells

T细胞亚群转录组学

自身免疫性疾病

To test whether human in vitro primed Th9 cells recapitulate the core pathogenic Th2 cell phenotype, we differentiated naïve T cells into Th1 (IL-12), Th2 (IL-4), Th9 (IL-4+TGF-β), and iTreg (TGF-β).

NIAID Data Ecosystem60

Murine Th2, Th9, and iTreg transcriptome. Murine Th2, Th9, and iTreg transcriptome

T细胞亚群转录组学

免疫细胞分化

Transcriptional profiling of mouse Th2, Th9, and iTreg cells. Transcriptomes were compared with that of naïve CD4 T cells. Goal was to screen subset-specific genes. Overall design: Transcriptional pro

NIAID Data Ecosystem40

The GEP of Treg subpopulations A and B and matchd T conventional. Homo sapiens

T细胞亚群转录组学

细胞标志物分析

Transcriptom analysis of Treg subpopulations based on CD4,CD25,CD127,CCR4,CD45RO and CD95 expression Overall design: We have analysed sorted Treg subpopulations based on CD4,CD25,CD127,CCR4,CD45RO and

NIAID Data Ecosystem90

RNA-seq of Treg and Tconv subsets from murine spleen. RNA-seq of Treg and Tconv subsets from murine spleen

T细胞亚群转录组学

免疫调控机制

While unique subsets of Treg cells have been described in some non-lymphoid tissues, their relationship to Treg cells in secondary lymphoid organs and circulation remains unclear. We have identified a

NIAID Data Ecosystem40

RNA-seq of FR4+Egr2+, FR4+Egr2-, FR4-Egr2-, FR4+Egr2-/-Egr3-/- and FR4-Egr2-/-Egr3-/- CD4 T cells

资源简介：

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